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Poster
Combining Statistical Depth and Fermat Distance for Uncertainty Quantification
Hai Vy Nguyen · Fabrice Gamboa · Reda CHHAIBI · Sixin Zhang · Serge Gratton · Thierry Giaccone
Poster
Outlier-Robust Distributionally Robust Optimization via Unbalanced Optimal Transport
Zifan Wang · Yi Shen · Michael Zavlanos · Karl H. Johansson
Poster
Wed 16:30 Estimating Epistemic and Aleatoric Uncertainty with a Single Model
Matthew Chan · Maria Molina · Chris Metzler
Poster
Fri 11:00 Query-Efficient Correlation Clustering with Noisy Oracle
Yuko Kuroki · Atsushi Miyauchi · Francesco Bonchi · Wei Chen
Poster
Thu 16:30 Disentangling Linear Quadratic Control with Untrusted ML Predictions
Tongxin Li · Hao Liu · Yisong Yue
Poster
Wed 11:00 The Collusion of Memory and Nonlinearity in Stochastic Approximation With Constant Stepsize
Dongyan Lucy Huo · Yixuan Zhang · Yudong Chen · Qiaomin Xie
Poster
Wed 11:00 Linear Uncertainty Quantification of Graphical Model Inference
Chenghua Guo · Han Yu · Jiaxin Liu · Chao Chen · Qi Li · Sihong Xie · Xi Zhang
Poster
Wed 11:00 Semi-Random Matrix Completion via Flow-Based Adaptive Reweighting
Jonathan Kelner · Jerry Li · Allen Liu · Aaron Sidford · Kevin Tian
Poster
Thu 16:30 Hierarchical Uncertainty Exploration via Feedforward Posterior Trees
Elias Nehme · Rotem Mulayoff · Tomer Michaeli
Poster
Fri 16:30 Drago: Primal-Dual Coupled Variance Reduction for Faster Distributionally Robust Optimization
Ronak Mehta · Jelena Diakonikolas · Zaid Harchaoui
Poster
Wed 16:30 Decision-Focused Learning with Directional Gradients
Michael Huang · Vishal Gupta
Poster
Thu 11:00 Variational Multi-scale Representation for Estimating Uncertainty in 3D Gaussian Splatting
Ruiqi Li · Yiu-ming Cheung